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Adaptive Traffic Signal Controlling With Transfer Learning
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021Traffic crowding is becoming a serious nuisance in cities and metros. Currently the system used for traffic management is not that efficient because it is static in nature which means it works the same for all the traffic circumstances. This results in an increase in the waiting queue length of vehicles at a traffic intersection. Hence we are proposing
Rupali Pawar +3 more
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Adaptive traffic signal control using fuzzy logic
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2002We present a distributed approach to traffic signal control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. Thus, the signal timing parameters evolve dynamically using only local information to improve traffic flow.
S. Chiu, S. Chand
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VANET Based Adaptive Traffic Signal Control
2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 2011In urban scenarios traffic signal controls are the main mechanism to control vehicular flow at the intersections. However, traditional systems fail to adjust the timing pattern in accordance to the time variability. An alternative to such systems is to develop dynamic systems which will alter the timing patterns according to the traffic demand. In this
N. Maslekar +3 more
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On maximally stabilizing adaptive traffic signal control
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013In this paper, we design adaptive traffic signal control policies for urban traffic networks. Vehicles at the end of an approach to an intersection queue up in separate lanes, with finite flow capacities, corresponding to different possible turn maneuvers according to static route choice behavior.
Savla, Ketan +2 more
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Iterative Learning Based Adaptive Traffic Signal Control
Journal of Transportation Systems Engineering and Information Technology, 2010Abstract Iterative learning control (ILC), as a branch of data-driven control, has obtained plentiful achievements both in theoretical research and practical application over the past two decades. Taking the traffic signal control system as a plant system, the paper introduces the idea of the ILC and fuzzy logic to design an adaptive data-driven ...
Yichen ZHENG, Yi ZHANG, Jianming HU
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Hybrid Traffic Simulation with Adaptive Signal Control
Transportation Research Record: Journal of the Transportation Research Board, 2007A hybrid mesoscopic-microscopic model is implemented that applies microscopic simulation to areas of specific interest while simulating a large surrounding network in lesser detail with a mesoscopic model. The hybrid model integrates VisSim, a microscopic traffic simulation model, and Mezzo, a recently developed mesoscopic model.
Burghout, Wilco, Wahlstedt, Johan
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Coordination of local adaptive traffic signal controllers
Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998We consider that freeway traffic flows out onto surface streets and surface street traffic flows into freeways and thus the combined performance of both freeway and surface street portions of a network are interrelated. We analyze a control architecture to improve surface street flow using adaptive signal controllers and introduce an important ...
I. Porche, S. Lafortune
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Adaptive Dynamic Control for Road Traffic Signals
2007 IEEE International Conference on Networking, Sensing and Control, 2007Control of road traffic by signals requires timings for the stages during which signal indications remain constant. Approaches to calculation of these durations include traffic-responsive strategies as well as fixed-time ones. In all cases, these control methods require some parameters that will ultimately depend on traffic flows.
BG Heydecker, Chen Cai, CK Wong
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Adaptive traffic signal control using fuzzy logic
Proceedings of the Intelligent Vehicles `92 Symposium, 2003Presents a distributed approach to traffic signal control, where the signal timing parameters are a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. The signal timing at an intersection is defined by three parameters: cycle time, phase split, and offset.
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